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Resting state functional connectivity differences between behavioral variant frontotemporal dementia and Alzheimer's disease

Overview of attention for article published in Frontiers in Human Neuroscience, September 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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1 news outlet
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Title
Resting state functional connectivity differences between behavioral variant frontotemporal dementia and Alzheimer's disease
Published in
Frontiers in Human Neuroscience, September 2015
DOI 10.3389/fnhum.2015.00474
Pubmed ID
Authors

Anne Hafkemeijer, Christiane Möller, Elise G. P. Dopper, Lize C. Jiskoot, Tijn M. Schouten, John C. van Swieten, Wiesje M. van der Flier, Hugo Vrenken, Yolande A. L. Pijnenburg, Frederik Barkhof, Philip Scheltens, Jeroen van der Grond, Serge A. R. B. Rombouts

Abstract

Introduction: Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) are the most common types of early-onset dementia. Early differentiation between both types of dementia may be challenging due to heterogeneity and overlap of symptoms. Here, we apply resting state functional magnetic resonance imaging (fMRI) to study functional brain connectivity differences between AD and bvFTD. Methods: We used resting state fMRI data of 31 AD patients, 25 bvFTD patients, and 29 controls from two centers specialized in dementia. We studied functional connectivity throughout the entire brain, applying two different analysis techniques, studying network-to-region and region-to-region connectivity. A general linear model approach was used to study group differences, while controlling for physiological noise, age, gender, study center, and regional gray matter volume. Results: Given gray matter differences, we observed decreased network-to-region connectivity in bvFTD between (a) lateral visual cortical network and lateral occipital and cuneal cortex, and (b) auditory system network and angular gyrus. In AD, we found decreased network-to-region connectivity between the dorsal visual stream network and lateral occipital and parietal opercular cortex. Region-to-region connectivity was decreased in bvFTD between superior temporal gyrus and cuneal, supracalcarine, intracalcarine cortex, and lingual gyrus. Conclusion: We showed that the pathophysiology of functional brain connectivity is different between AD and bvFTD. Our findings support the hypothesis that resting state fMRI shows disease-specific functional connectivity differences and is useful to elucidate the pathophysiology of AD and bvFTD. However, the group differences in functional connectivity are less abundant than has been shown in previous studies.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Italy 1 <1%
Unknown 139 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 21%
Student > Master 20 14%
Researcher 18 13%
Student > Bachelor 9 6%
Other 8 6%
Other 27 19%
Unknown 29 21%
Readers by discipline Count As %
Neuroscience 35 25%
Psychology 28 20%
Medicine and Dentistry 13 9%
Computer Science 5 4%
Agricultural and Biological Sciences 4 3%
Other 18 13%
Unknown 38 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 October 2015.
All research outputs
#2,852,886
of 23,313,051 outputs
Outputs from Frontiers in Human Neuroscience
#1,426
of 7,266 outputs
Outputs of similar age
#38,852
of 268,530 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#25
of 146 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,266 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 268,530 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.